An AI interview in Hindi or another Indian language lets each applicant answer screening questions by voice in the language they speak best. For volume roles, that widens your pool and gives you fuller answers to judge. It stays fair when every language uses the same questions and rubric, scores come with quotes, and recruiters check unclear cases.
Why the language of the first round matters
Most first-round screening in India still happens in one of two languages, usually English, sometimes Hindi. That is a habit, not a requirement of the job. A delivery partner in Coimbatore, a store associate in Pune or a branch sales executive in Guwahati may do the whole job in Tamil, Marathi or Assamese. Screen them in English and you are testing their English, not whether they can do the work.
The scale of the gap is easy to underestimate. In the 2011 Census, Hindi was the mother tongue of 43.63% of people in India. So even a Hindi-only screen means most of the country grew up speaking something else. Many people are comfortable in two or three languages, but comfortable and at their best are not the same thing, especially when a stranger is asking the questions.
What a language mismatch costs in volume hiring
When a candidate answers in a language they are less sure of, the answers get shorter and more cautious. They skip the detail that would show they have handled an angry customer or managed a team of pickers. The recruiter hears a weak answer and moves on. Some good applicants never get that far, because a call in the "wrong" language feels like a test they will fail, so they do not pick up or do not finish. None of this shows up in a report. You simply see fewer good candidates than you expected.
When English should stay the test
Language choice is not always right. If the role is an international English voice process, English is part of the job and the screen should be in English. The point is to decide per role: test the language the work is done in, and let candidates use their strongest language for everything else.
How a voice-by-link AI interview handles language choice
In a voice-by-link interview, nobody has to dial anyone. In Inwizards AI Voice Interviews, the flow looks like this:
- The recruiter sets up the job: the questions, what a good answer looks like, the scoring weights and which of the 12 languages to offer.
- Each candidate gets a private link by WhatsApp, SMS or email.
- The candidate opens it on their phone, with no app and no login, and picks a language: Hindi, English, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati, Punjabi, Urdu or Assamese.
- They read the privacy notice in that language, agree, and answer by voice. It takes about 15 minutes, at any time of day.
- The AI transcribes each answer, scores it against your rubric with quotes as evidence, and ranks the candidates for a recruiter to review.
Multilingual AI interview vs a phone screen in one language
A phone screen fixes the language at the moment the recruiter says hello. A multilingual AI interview lets the candidate choose before the first question, in private, with no one waiting on the line. They can take the interview after a shift, from home, when they are ready. For high-volume roles that also removes the scheduling back-and-forth, which is often where candidates drop away.
A privacy notice in the candidate's own language
Section 5(3) of India's Digital Personal Data Protection Act, 2023 says the person must have the option to read the notice in English or any language in the Eighth Schedule to the Constitution. All 11 non-English languages in our list are Eighth Schedule languages, so the consent screen is shown in the language the candidate picked. The DPDP Rules are being phased in, so check the timing that applies to you with your own adviser. Candidate data is stored in India, on AWS in Mumbai.
See a first-round interview in your candidates' languages
We will set up one of your roles with your own questions, pick the languages you hire in, and show you the ranked results with the quotes behind every score.
Book a demoScoring fairly across languages
The fair-hiring question is simple: would this candidate get the same score if they had said the same thing in a different language? You cannot prove that once and forget it, but you can design for it and keep checking.
Same questions, same rubric, every language
Every language version of a job should ask the same questions in the same order and be scored on the same dimensions with the same weights. The rubric describes what a good answer contains, such as "gives a specific example" or "explains the steps in order", not how polished the language sounds. A clear answer in simple Kannada should score the same as a clear answer in simple English.
Evidence quotes behind every score
Each score in Inwizards AI Voice Interviews comes with quotes from the candidate's own answer, next to the recording and the transcript. That matters more across languages, because a recruiter can check why the AI scored the way it did instead of trusting a number. Plan who on your team can read and listen to each language you switch on. If nobody reads Bengali, either add a reviewer who does or wait before offering it.
Recruiter calibration, language by language
Calibration means recruiters rate a sample of interviews blind, without seeing the AI score, and a report shows how closely the AI agrees with them. Do this separately for each language. If agreement is good in Hindi but weaker in Malayalam, that is a signal to check the Malayalam questions or rubric wording before you rely on the ranking.
Compare like with like
Results can be filtered by language and score. Use that to spot patterns. If candidates in one language cluster lower, do not assume they are weaker. First check whether that version of a question reads differently, uses a harder word, or asks for something the English version does not.
Practical tips for an AI interview in Hindi or any regional language
Write questions simply
Short sentences, one idea per question, everyday words. In Hindi that usually means the Hindi people actually speak, not textbook Hindi. Avoid idioms that do not travel between languages. Here are examples of the style we mean, not a script you must use:
| Instead of | Try (example) |
|---|---|
| Describe your aptitude for handling escalations in a customer-facing environment. | Tell us about a time a customer was angry. What did you say, and what happened next? |
| Kindly elaborate on your commuting arrangements. | आप किस इलाके में रहते हैं, और वहाँ से ऑफिस आने में कितना समय लगेगा? (Where do you live, and how long will it take you to reach the office?) |
Test every language before you go live
Have a fluent colleague take the interview in each language you plan to offer, once in a quiet room and once somewhere noisy. Read the transcripts and scores. Fix anything that sounds unnatural or that the scoring misreads. Repeat whenever you change the questions.
Let candidates choose
Do not assign a language based on the candidate's state, city or surname. People move, and many families speak more than one language at home. Offer the languages that make sense for the role and let each person pick.
Keep knockout questions plain
Must-have questions such as location, shift and notice period should be the easiest to understand in every language, because a misunderstanding there rules someone out. Our post on BPO bulk hiring and voice-process screening has sample knockout wording.
The limits, and where a person should step in
Speech technology for Indian languages has improved a great deal, but it is not perfect. It is better to plan for that than to pretend otherwise.
Accents and dialects
A strong regional accent, or a dialect that differs from the standard form of a language, can cause transcription mistakes. If the transcript does not match what you hear in the recording, trust the recording and treat the score as provisional. Move these interviews to the Needs review view rather than rejecting them.
Noisy rooms
Candidates answer from shared homes, shop floors and bus stops. Say in the invite that a quiet place helps. If the connection drops, recorded answers are saved and the candidate can continue where they left off. When the audio is poor, a recruiter should listen before any decision is made.
Code-mixing and Hinglish
Many people mix English words into Hindi, Tamil or Telugu without thinking about it. That is normal speech, not a weakness. Unless the role needs one language strictly, your rubric should not mark down mixed-language answers. Where a mixed answer has produced a transcript that looks wrong, or a score that does not match the quotes, a person should review it.
The AI ranks, the recruiter decides
The AI ranks and explains. A recruiter makes every hiring decision, can override any score with a reason, and every override is logged. That is the right split in any language, and it matters most in the languages where you have the least calibration data so far.
Where to go from here
If you are comparing approaches, our guide to AI interview tools in India sets voice-by-link interviews side by side with phone-call agents and video tools. If you would rather have an agent call candidates, read about AI voice agents for recruitment agencies or see our wider AI voice agents work. To try a multilingual first round on one of your own roles, start with Inwizards AI Voice Interviews.